ライフサイエンスコーパス: Fourier analysis

1 e methodology was contrasted favourably with Fourier analysis.

2 de single particle tracking, correlation and Fourier analysis.

3 cillation in period-10 VWG, as determined by Fourier analysis.

4 nerate an intensity-versus-time data set for Fourier analysis.

5 hes such as singular value decomposition and Fourier analysis.

6 content of the responses was evaluated using Fourier analysis.

7 ell and matrix organization, quantifiable by Fourier analysis.

8 Fourier analysis allows for the classification of subjec

9 ial regularity of tissue microstructure from Fourier analysis and second-order image moments.

10 With Fourier analysis and spatial statistics, we analyzed spi

11 larity in the time series as evidenced using Fourier analysis and visual inspection; (b) determinism

12 tropy of stained histological sections using Fourier analysis, and applied the method to a rat contro

13 us (fundamental) frequency were derived from Fourier analysis, and contrast response functions were f

14 ssessed with a novel segmentation algorithm, Fourier analysis, and kinematic and dynamical modeling.

15 tograms of their responses were subjected to Fourier analysis, and the ratio of the magnitudes of the

16 nvestigate the origin of these bends using a Fourier analysis approach to quantify their length and t

17 Fourier analysis at different back-pressure regulator (B

18 Fourier analysis characterized the temporal variability

19 Fourier analysis confirmed this monthly variation with a

20 Fourier analysis determined the energy in the normalized

21 Fourier analysis [WFA]), Fourier-based (fast Fourier analysis [FFA]), and several previous variations

22 In addition, the data were subjected to Fourier analysis for air and O2 breathing.

23 ds to a large neural population, we employed Fourier analysis for the spectral decomposition of ITD c

24 Fourier analysis identifies active phonons at approximat

25 Fourier analysis indicated a maintained organization of

26 Fourier analysis is a promising technique in the diagnos

27 Fourier analysis is well-suited to the analysis of trabe

28 Fourier analysis of dental radiographs is a more effecti

29 Fourier analysis of fiber-optics confocal microscopy ima

30 Fourier analysis of immunolabelled lysosomes suggests a

31 aylor cone deformations are determined using Fourier analysis of light refraction measurements.

32 Fourier analysis of link images showed that the strand o

33 wall should cause a Dam1 ring to wobble, and Fourier analysis of moving, ring-attached beads corrobor

34 Difference Fourier analysis of neutron powder diffraction data reve

35 der in the electronic wave functions and the Fourier analysis of our results links the energy of the

36 hickness double-hump pattern was analyzed by Fourier analysis of polarimetry data.

37 Therefore, Fourier analysis of reflectance spectra can be used to d

38 Then, by using Fourier analysis of scanned Josephson tunnelling images,

39 By performing a Fourier analysis of the microtubule shapes, we found tha

40 ome oscillation period value, as computed by Fourier analysis of the sequence.

41 Fourier analysis of the stoichiometry distribution sugge

42 invariance of GalCer structure obtained by a Fourier analysis of the X-ray data, indicated that there

43 ization procedure improving upon traditional Fourier analysis performance in distinguishing coding fr

44 mode decomposition method." Conventionally, Fourier analysis represents the data by sine and cosine

45 Fourier analysis revealed a periodicity consistent with

46 Fourier analysis revealed that the increase in the magni

47 Fourier analysis showed a highly significant circadian v

48 We demonstrate using the Fourier analysis that the increase of omega, i.e., the d

49 This study used wavelet transformation and Fourier analysis to assess the presence of temporal osci

50 c zippers." In a similar setting, the use of Fourier analysis to characterize the dominant statistica

51 Here we used optical mapping and Fourier analysis to determine the distribution of excita

52 The application of Fourier analysis to synchronized yeast mRNA expression d

53 means (preload recruitable stroke work), and Fourier analysis was used to calculate RV hydraulic powe

54 Fourier analysis was used to determine the accommodative

55 Fourier analysis was used to develop a relationship betw

56 Fourier analysis was used to examine discharge patterns

57 Using difference Fourier analysis, we analyzed directly the changes that

58 By Fourier analysis, we show that our new alignment has enh

59 A chi2 test for goodness of fit and partial Fourier analysis were used to evaluate nonuniformity and

60 Wavelet-based (wavelet-Fourier analysis [WFA]), Fourier-based (fast Fourier ana